| //! Note: tests specific to this file can be found in: |
| //! |
| //! - `ui/pattern/usefulness` |
| //! - `ui/or-patterns` |
| //! - `ui/consts/const_in_pattern` |
| //! - `ui/rfc-2008-non-exhaustive` |
| //! - `ui/half-open-range-patterns` |
| //! - probably many others |
| //! |
| //! I (Nadrieril) prefer to put new tests in `ui/pattern/usefulness` unless there's a specific |
| //! reason not to, for example if they depend on a particular feature like `or_patterns`. |
| //! |
| //! ----- |
| //! |
| //! This file includes the logic for exhaustiveness and reachability checking for pattern-matching. |
| //! Specifically, given a list of patterns for a type, we can tell whether: |
| //! (a) each pattern is reachable (reachability) |
| //! (b) the patterns cover every possible value for the type (exhaustiveness) |
| //! |
| //! The algorithm implemented here is a modified version of the one described in [this |
| //! paper](http://moscova.inria.fr/~maranget/papers/warn/index.html). We have however generalized |
| //! it to accommodate the variety of patterns that Rust supports. We thus explain our version here, |
| //! without being as rigorous. |
| //! |
| //! |
| //! # Summary |
| //! |
| //! The core of the algorithm is the notion of "usefulness". A pattern `q` is said to be *useful* |
| //! relative to another pattern `p` of the same type if there is a value that is matched by `q` and |
| //! not matched by `p`. This generalizes to many `p`s: `q` is useful w.r.t. a list of patterns |
| //! `p_1 .. p_n` if there is a value that is matched by `q` and by none of the `p_i`. We write |
| //! `usefulness(p_1 .. p_n, q)` for a function that returns a list of such values. The aim of this |
| //! file is to compute it efficiently. |
| //! |
| //! This is enough to compute reachability: a pattern in a `match` expression is reachable iff it |
| //! is useful w.r.t. the patterns above it: |
| //! ```rust |
| //! # fn foo(x: Option<i32>) { |
| //! match x { |
| //! Some(_) => {}, |
| //! None => {}, // reachable: `None` is matched by this but not the branch above |
| //! Some(0) => {}, // unreachable: all the values this matches are already matched by |
| //! // `Some(_)` above |
| //! } |
| //! # } |
| //! ``` |
| //! |
| //! This is also enough to compute exhaustiveness: a match is exhaustive iff the wildcard `_` |
| //! pattern is _not_ useful w.r.t. the patterns in the match. The values returned by `usefulness` |
| //! are used to tell the user which values are missing. |
| //! ```compile_fail,E0004 |
| //! # fn foo(x: Option<i32>) { |
| //! match x { |
| //! Some(0) => {}, |
| //! None => {}, |
| //! // not exhaustive: `_` is useful because it matches `Some(1)` |
| //! } |
| //! # } |
| //! ``` |
| //! |
| //! The entrypoint of this file is the [`compute_match_usefulness`] function, which computes |
| //! reachability for each match branch and exhaustiveness for the whole match. |
| //! |
| //! |
| //! # Constructors and fields |
| //! |
| //! Note: we will often abbreviate "constructor" as "ctor". |
| //! |
| //! The idea that powers everything that is done in this file is the following: a (matchable) |
| //! value is made from a constructor applied to a number of subvalues. Examples of constructors are |
| //! `Some`, `None`, `(,)` (the 2-tuple constructor), `Foo {..}` (the constructor for a struct |
| //! `Foo`), and `2` (the constructor for the number `2`). This is natural when we think of |
| //! pattern-matching, and this is the basis for what follows. |
| //! |
| //! Some of the ctors listed above might feel weird: `None` and `2` don't take any arguments. |
| //! That's ok: those are ctors that take a list of 0 arguments; they are the simplest case of |
| //! ctors. We treat `2` as a ctor because `u64` and other number types behave exactly like a huge |
| //! `enum`, with one variant for each number. This allows us to see any matchable value as made up |
| //! from a tree of ctors, each having a set number of children. For example: `Foo { bar: None, |
| //! baz: Ok(0) }` is made from 4 different ctors, namely `Foo{..}`, `None`, `Ok` and `0`. |
| //! |
| //! This idea can be extended to patterns: they are also made from constructors applied to fields. |
| //! A pattern for a given type is allowed to use all the ctors for values of that type (which we |
| //! call "value constructors"), but there are also pattern-only ctors. The most important one is |
| //! the wildcard (`_`), and the others are integer ranges (`0..=10`), variable-length slices (`[x, |
| //! ..]`), and or-patterns (`Ok(0) | Err(_)`). Examples of valid patterns are `42`, `Some(_)`, `Foo |
| //! { bar: Some(0) | None, baz: _ }`. Note that a binder in a pattern (e.g. `Some(x)`) matches the |
| //! same values as a wildcard (e.g. `Some(_)`), so we treat both as wildcards. |
| //! |
| //! From this deconstruction we can compute whether a given value matches a given pattern; we |
| //! simply look at ctors one at a time. Given a pattern `p` and a value `v`, we want to compute |
| //! `matches!(v, p)`. It's mostly straightforward: we compare the head ctors and when they match |
| //! we compare their fields recursively. A few representative examples: |
| //! |
| //! - `matches!(v, _) := true` |
| //! - `matches!((v0, v1), (p0, p1)) := matches!(v0, p0) && matches!(v1, p1)` |
| //! - `matches!(Foo { bar: v0, baz: v1 }, Foo { bar: p0, baz: p1 }) := matches!(v0, p0) && matches!(v1, p1)` |
| //! - `matches!(Ok(v0), Ok(p0)) := matches!(v0, p0)` |
| //! - `matches!(Ok(v0), Err(p0)) := false` (incompatible variants) |
| //! - `matches!(v, 1..=100) := matches!(v, 1) || ... || matches!(v, 100)` |
| //! - `matches!([v0], [p0, .., p1]) := false` (incompatible lengths) |
| //! - `matches!([v0, v1, v2], [p0, .., p1]) := matches!(v0, p0) && matches!(v2, p1)` |
| //! - `matches!(v, p0 | p1) := matches!(v, p0) || matches!(v, p1)` |
| //! |
| //! Constructors, fields and relevant operations are defined in the [`super::deconstruct_pat`] module. |
| //! |
| //! Note: this constructors/fields distinction may not straightforwardly apply to every Rust type. |
| //! For example a value of type `Rc<u64>` can't be deconstructed that way, and `&str` has an |
| //! infinitude of constructors. There are also subtleties with visibility of fields and |
| //! uninhabitedness and various other things. The constructors idea can be extended to handle most |
| //! of these subtleties though; caveats are documented where relevant throughout the code. |
| //! |
| //! Whether constructors cover each other is computed by [`Constructor::is_covered_by`]. |
| //! |
| //! |
| //! # Specialization |
| //! |
| //! Recall that we wish to compute `usefulness(p_1 .. p_n, q)`: given a list of patterns `p_1 .. |
| //! p_n` and a pattern `q`, all of the same type, we want to find a list of values (called |
| //! "witnesses") that are matched by `q` and by none of the `p_i`. We obviously don't just |
| //! enumerate all possible values. From the discussion above we see that we can proceed |
| //! ctor-by-ctor: for each value ctor of the given type, we ask "is there a value that starts with |
| //! this constructor and matches `q` and none of the `p_i`?". As we saw above, there's a lot we can |
| //! say from knowing only the first constructor of our candidate value. |
| //! |
| //! Let's take the following example: |
| //! ```compile_fail,E0004 |
| //! # enum Enum { Variant1(()), Variant2(Option<bool>, u32)} |
| //! # fn foo(x: Enum) { |
| //! match x { |
| //! Enum::Variant1(_) => {} // `p1` |
| //! Enum::Variant2(None, 0) => {} // `p2` |
| //! Enum::Variant2(Some(_), 0) => {} // `q` |
| //! } |
| //! # } |
| //! ``` |
| //! |
| //! We can easily see that if our candidate value `v` starts with `Variant1` it will not match `q`. |
| //! If `v = Variant2(v0, v1)` however, whether or not it matches `p2` and `q` will depend on `v0` |
| //! and `v1`. In fact, such a `v` will be a witness of usefulness of `q` exactly when the tuple |
| //! `(v0, v1)` is a witness of usefulness of `q'` in the following reduced match: |
| //! |
| //! ```compile_fail,E0004 |
| //! # fn foo(x: (Option<bool>, u32)) { |
| //! match x { |
| //! (None, 0) => {} // `p2'` |
| //! (Some(_), 0) => {} // `q'` |
| //! } |
| //! # } |
| //! ``` |
| //! |
| //! This motivates a new step in computing usefulness, that we call _specialization_. |
| //! Specialization consist of filtering a list of patterns for those that match a constructor, and |
| //! then looking into the constructor's fields. This enables usefulness to be computed recursively. |
| //! |
| //! Instead of acting on a single pattern in each row, we will consider a list of patterns for each |
| //! row, and we call such a list a _pattern-stack_. The idea is that we will specialize the |
| //! leftmost pattern, which amounts to popping the constructor and pushing its fields, which feels |
| //! like a stack. We note a pattern-stack simply with `[p_1 ... p_n]`. |
| //! Here's a sequence of specializations of a list of pattern-stacks, to illustrate what's |
| //! happening: |
| //! ```ignore (illustrative) |
| //! [Enum::Variant1(_)] |
| //! [Enum::Variant2(None, 0)] |
| //! [Enum::Variant2(Some(_), 0)] |
| //! //==>> specialize with `Variant2` |
| //! [None, 0] |
| //! [Some(_), 0] |
| //! //==>> specialize with `Some` |
| //! [_, 0] |
| //! //==>> specialize with `true` (say the type was `bool`) |
| //! [0] |
| //! //==>> specialize with `0` |
| //! [] |
| //! ``` |
| //! |
| //! The function `specialize(c, p)` takes a value constructor `c` and a pattern `p`, and returns 0 |
| //! or more pattern-stacks. If `c` does not match the head constructor of `p`, it returns nothing; |
| //! otherwise if returns the fields of the constructor. This only returns more than one |
| //! pattern-stack if `p` has a pattern-only constructor. |
| //! |
| //! - Specializing for the wrong constructor returns nothing |
| //! |
| //! `specialize(None, Some(p0)) := []` |
| //! |
| //! - Specializing for the correct constructor returns a single row with the fields |
| //! |
| //! `specialize(Variant1, Variant1(p0, p1, p2)) := [[p0, p1, p2]]` |
| //! |
| //! `specialize(Foo{..}, Foo { bar: p0, baz: p1 }) := [[p0, p1]]` |
| //! |
| //! - For or-patterns, we specialize each branch and concatenate the results |
| //! |
| //! `specialize(c, p0 | p1) := specialize(c, p0) ++ specialize(c, p1)` |
| //! |
| //! - We treat the other pattern constructors as if they were a large or-pattern of all the |
| //! possibilities: |
| //! |
| //! `specialize(c, _) := specialize(c, Variant1(_) | Variant2(_, _) | ...)` |
| //! |
| //! `specialize(c, 1..=100) := specialize(c, 1 | ... | 100)` |
| //! |
| //! `specialize(c, [p0, .., p1]) := specialize(c, [p0, p1] | [p0, _, p1] | [p0, _, _, p1] | ...)` |
| //! |
| //! - If `c` is a pattern-only constructor, `specialize` is defined on a case-by-case basis. See |
| //! the discussion about constructor splitting in [`super::deconstruct_pat`]. |
| //! |
| //! |
| //! We then extend this function to work with pattern-stacks as input, by acting on the first |
| //! column and keeping the other columns untouched. |
| //! |
| //! Specialization for the whole matrix is done in [`Matrix::specialize_constructor`]. Note that |
| //! or-patterns in the first column are expanded before being stored in the matrix. Specialization |
| //! for a single patstack is done from a combination of [`Constructor::is_covered_by`] and |
| //! [`PatStack::pop_head_constructor`]. The internals of how it's done mostly live in the |
| //! [`super::deconstruct_pat::Fields`] struct. |
| //! |
| //! |
| //! # Computing usefulness |
| //! |
| //! We now have all we need to compute usefulness. The inputs to usefulness are a list of |
| //! pattern-stacks `p_1 ... p_n` (one per row), and a new pattern_stack `q`. The paper and this |
| //! file calls the list of patstacks a _matrix_. They must all have the same number of columns and |
| //! the patterns in a given column must all have the same type. `usefulness` returns a (possibly |
| //! empty) list of witnesses of usefulness. These witnesses will also be pattern-stacks. |
| //! |
| //! - base case: `n_columns == 0`. |
| //! Since a pattern-stack functions like a tuple of patterns, an empty one functions like the |
| //! unit type. Thus `q` is useful iff there are no rows above it, i.e. if `n == 0`. |
| //! |
| //! - inductive case: `n_columns > 0`. |
| //! We need a way to list the constructors we want to try. We will be more clever in the next |
| //! section but for now assume we list all value constructors for the type of the first column. |
| //! |
| //! - for each such ctor `c`: |
| //! |
| //! - for each `q'` returned by `specialize(c, q)`: |
| //! |
| //! - we compute `usefulness(specialize(c, p_1) ... specialize(c, p_n), q')` |
| //! |
| //! - for each witness found, we revert specialization by pushing the constructor `c` on top. |
| //! |
| //! - We return the concatenation of all the witnesses found, if any. |
| //! |
| //! Example: |
| //! ```ignore (illustrative) |
| //! [Some(true)] // p_1 |
| //! [None] // p_2 |
| //! [Some(_)] // q |
| //! //==>> try `None`: `specialize(None, q)` returns nothing |
| //! //==>> try `Some`: `specialize(Some, q)` returns a single row |
| //! [true] // p_1' |
| //! [_] // q' |
| //! //==>> try `true`: `specialize(true, q')` returns a single row |
| //! [] // p_1'' |
| //! [] // q'' |
| //! //==>> base case; `n != 0` so `q''` is not useful. |
| //! //==>> go back up a step |
| //! [true] // p_1' |
| //! [_] // q' |
| //! //==>> try `false`: `specialize(false, q')` returns a single row |
| //! [] // q'' |
| //! //==>> base case; `n == 0` so `q''` is useful. We return the single witness `[]` |
| //! witnesses: |
| //! [] |
| //! //==>> undo the specialization with `false` |
| //! witnesses: |
| //! [false] |
| //! //==>> undo the specialization with `Some` |
| //! witnesses: |
| //! [Some(false)] |
| //! //==>> we have tried all the constructors. The output is the single witness `[Some(false)]`. |
| //! ``` |
| //! |
| //! This computation is done in [`is_useful`]. In practice we don't care about the list of |
| //! witnesses when computing reachability; we only need to know whether any exist. We do keep the |
| //! witnesses when computing exhaustiveness to report them to the user. |
| //! |
| //! |
| //! # Making usefulness tractable: constructor splitting |
| //! |
| //! We're missing one last detail: which constructors do we list? Naively listing all value |
| //! constructors cannot work for types like `u64` or `&str`, so we need to be more clever. The |
| //! first obvious insight is that we only want to list constructors that are covered by the head |
| //! constructor of `q`. If it's a value constructor, we only try that one. If it's a pattern-only |
| //! constructor, we use the final clever idea for this algorithm: _constructor splitting_, where we |
| //! group together constructors that behave the same. |
| //! |
| //! The details are not necessary to understand this file, so we explain them in |
| //! [`super::deconstruct_pat`]. Splitting is done by the [`Constructor::split`] function. |
| //! |
| //! # Constants in patterns |
| //! |
| //! There are two kinds of constants in patterns: |
| //! |
| //! * literals (`1`, `true`, `"foo"`) |
| //! * named or inline consts (`FOO`, `const { 5 + 6 }`) |
| //! |
| //! The latter are converted into other patterns with literals at the leaves. For example |
| //! `const_to_pat(const { [1, 2, 3] })` becomes an `Array(vec![Const(1), Const(2), Const(3)])` |
| //! pattern. This gets problematic when comparing the constant via `==` would behave differently |
| //! from matching on the constant converted to a pattern. Situations like that can occur, when |
| //! the user implements `PartialEq` manually, and thus could make `==` behave arbitrarily different. |
| //! In order to honor the `==` implementation, constants of types that implement `PartialEq` manually |
| //! stay as a full constant and become an `Opaque` pattern. These `Opaque` patterns do not participate |
| //! in exhaustiveness, specialization or overlap checking. |
| |
| use self::ArmType::*; |
| use self::Usefulness::*; |
| use super::deconstruct_pat::{ |
| Constructor, ConstructorSet, DeconstructedPat, IntRange, MaybeInfiniteInt, SplitConstructorSet, |
| WitnessPat, |
| }; |
| use crate::errors::{ |
| NonExhaustiveOmittedPattern, NonExhaustiveOmittedPatternLintOnArm, Overlap, |
| OverlappingRangeEndpoints, Uncovered, |
| }; |
| |
| use rustc_data_structures::captures::Captures; |
| |
| use rustc_arena::TypedArena; |
| use rustc_data_structures::stack::ensure_sufficient_stack; |
| use rustc_hir::def_id::DefId; |
| use rustc_hir::HirId; |
| use rustc_middle::ty::{self, Ty, TyCtxt}; |
| use rustc_session::lint; |
| use rustc_session::lint::builtin::NON_EXHAUSTIVE_OMITTED_PATTERNS; |
| use rustc_span::{Span, DUMMY_SP}; |
| |
| use smallvec::{smallvec, SmallVec}; |
| use std::fmt; |
| |
| pub(crate) struct MatchCheckCtxt<'p, 'tcx> { |
| pub(crate) tcx: TyCtxt<'tcx>, |
| /// The module in which the match occurs. This is necessary for |
| /// checking inhabited-ness of types because whether a type is (visibly) |
| /// inhabited can depend on whether it was defined in the current module or |
| /// not. E.g., `struct Foo { _private: ! }` cannot be seen to be empty |
| /// outside its module and should not be matchable with an empty match statement. |
| pub(crate) module: DefId, |
| pub(crate) param_env: ty::ParamEnv<'tcx>, |
| pub(crate) pattern_arena: &'p TypedArena<DeconstructedPat<'p, 'tcx>>, |
| /// The span of the whole match, if applicable. |
| pub(crate) match_span: Option<Span>, |
| /// Only produce `NON_EXHAUSTIVE_OMITTED_PATTERNS` lint on refutable patterns. |
| pub(crate) refutable: bool, |
| } |
| |
| impl<'a, 'tcx> MatchCheckCtxt<'a, 'tcx> { |
| pub(super) fn is_uninhabited(&self, ty: Ty<'tcx>) -> bool { |
| if self.tcx.features().exhaustive_patterns { |
| !ty.is_inhabited_from(self.tcx, self.module, self.param_env) |
| } else { |
| false |
| } |
| } |
| |
| /// Returns whether the given type is an enum from another crate declared `#[non_exhaustive]`. |
| pub(super) fn is_foreign_non_exhaustive_enum(&self, ty: Ty<'tcx>) -> bool { |
| match ty.kind() { |
| ty::Adt(def, ..) => { |
| def.is_enum() && def.is_variant_list_non_exhaustive() && !def.did().is_local() |
| } |
| _ => false, |
| } |
| } |
| } |
| |
| #[derive(Copy, Clone)] |
| pub(super) struct PatCtxt<'a, 'p, 'tcx> { |
| pub(super) cx: &'a MatchCheckCtxt<'p, 'tcx>, |
| /// Type of the current column under investigation. |
| pub(super) ty: Ty<'tcx>, |
| /// Span of the current pattern under investigation. |
| pub(super) span: Span, |
| /// Whether the current pattern is the whole pattern as found in a match arm, or if it's a |
| /// subpattern. |
| pub(super) is_top_level: bool, |
| } |
| |
| impl<'a, 'p, 'tcx> fmt::Debug for PatCtxt<'a, 'p, 'tcx> { |
| fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { |
| f.debug_struct("PatCtxt").field("ty", &self.ty).finish() |
| } |
| } |
| |
| /// A row of a matrix. Rows of len 1 are very common, which is why `SmallVec[_; 2]` |
| /// works well. |
| #[derive(Clone)] |
| pub(crate) struct PatStack<'p, 'tcx> { |
| pub(crate) pats: SmallVec<[&'p DeconstructedPat<'p, 'tcx>; 2]>, |
| } |
| |
| impl<'p, 'tcx> PatStack<'p, 'tcx> { |
| fn from_pattern(pat: &'p DeconstructedPat<'p, 'tcx>) -> Self { |
| Self::from_vec(smallvec![pat]) |
| } |
| |
| fn from_vec(vec: SmallVec<[&'p DeconstructedPat<'p, 'tcx>; 2]>) -> Self { |
| PatStack { pats: vec } |
| } |
| |
| fn is_empty(&self) -> bool { |
| self.pats.is_empty() |
| } |
| |
| fn len(&self) -> usize { |
| self.pats.len() |
| } |
| |
| fn head(&self) -> &'p DeconstructedPat<'p, 'tcx> { |
| self.pats[0] |
| } |
| |
| fn iter(&self) -> impl Iterator<Item = &DeconstructedPat<'p, 'tcx>> { |
| self.pats.iter().copied() |
| } |
| |
| // Recursively expand the first pattern into its subpatterns. Only useful if the pattern is an |
| // or-pattern. Panics if `self` is empty. |
| fn expand_or_pat<'a>(&'a self) -> impl Iterator<Item = PatStack<'p, 'tcx>> + Captures<'a> { |
| self.head().iter_fields().map(move |pat| { |
| let mut new_patstack = PatStack::from_pattern(pat); |
| new_patstack.pats.extend_from_slice(&self.pats[1..]); |
| new_patstack |
| }) |
| } |
| |
| // Recursively expand all patterns into their subpatterns and push each `PatStack` to matrix. |
| fn expand_and_extend<'a>(&'a self, matrix: &mut Matrix<'p, 'tcx>) { |
| if !self.is_empty() && self.head().is_or_pat() { |
| for pat in self.head().iter_fields() { |
| let mut new_patstack = PatStack::from_pattern(pat); |
| new_patstack.pats.extend_from_slice(&self.pats[1..]); |
| if !new_patstack.is_empty() && new_patstack.head().is_or_pat() { |
| new_patstack.expand_and_extend(matrix); |
| } else if !new_patstack.is_empty() { |
| matrix.push(new_patstack); |
| } |
| } |
| } |
| } |
| |
| /// This computes `S(self.head().ctor(), self)`. See top of the file for explanations. |
| /// |
| /// Structure patterns with a partial wild pattern (Foo { a: 42, .. }) have their missing |
| /// fields filled with wild patterns. |
| /// |
| /// This is roughly the inverse of `Constructor::apply`. |
| fn pop_head_constructor( |
| &self, |
| pcx: &PatCtxt<'_, 'p, 'tcx>, |
| ctor: &Constructor<'tcx>, |
| ) -> PatStack<'p, 'tcx> { |
| // We pop the head pattern and push the new fields extracted from the arguments of |
| // `self.head()`. |
| let mut new_fields: SmallVec<[_; 2]> = self.head().specialize(pcx, ctor); |
| new_fields.extend_from_slice(&self.pats[1..]); |
| PatStack::from_vec(new_fields) |
| } |
| } |
| |
| /// Pretty-printing for matrix row. |
| impl<'p, 'tcx> fmt::Debug for PatStack<'p, 'tcx> { |
| fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { |
| write!(f, "+")?; |
| for pat in self.iter() { |
| write!(f, " {pat:?} +")?; |
| } |
| Ok(()) |
| } |
| } |
| |
| /// A 2D matrix. |
| #[derive(Clone)] |
| pub(super) struct Matrix<'p, 'tcx> { |
| pub patterns: Vec<PatStack<'p, 'tcx>>, |
| } |
| |
| impl<'p, 'tcx> Matrix<'p, 'tcx> { |
| fn empty() -> Self { |
| Matrix { patterns: vec![] } |
| } |
| |
| /// Pushes a new row to the matrix. If the row starts with an or-pattern, this recursively |
| /// expands it. |
| fn push(&mut self, row: PatStack<'p, 'tcx>) { |
| if !row.is_empty() && row.head().is_or_pat() { |
| row.expand_and_extend(self); |
| } else { |
| self.patterns.push(row); |
| } |
| } |
| |
| /// Iterate over the first component of each row |
| fn heads<'a>( |
| &'a self, |
| ) -> impl Iterator<Item = &'p DeconstructedPat<'p, 'tcx>> + Clone + Captures<'a> { |
| self.patterns.iter().map(|r| r.head()) |
| } |
| |
| /// This computes `S(constructor, self)`. See top of the file for explanations. |
| fn specialize_constructor( |
| &self, |
| pcx: &PatCtxt<'_, 'p, 'tcx>, |
| ctor: &Constructor<'tcx>, |
| ) -> Matrix<'p, 'tcx> { |
| let mut matrix = Matrix::empty(); |
| for row in &self.patterns { |
| if ctor.is_covered_by(pcx, row.head().ctor()) { |
| let new_row = row.pop_head_constructor(pcx, ctor); |
| matrix.push(new_row); |
| } |
| } |
| matrix |
| } |
| } |
| |
| /// Pretty-printer for matrices of patterns, example: |
| /// |
| /// ```text |
| /// + _ + [] + |
| /// + true + [First] + |
| /// + true + [Second(true)] + |
| /// + false + [_] + |
| /// + _ + [_, _, tail @ ..] + |
| /// ``` |
| impl<'p, 'tcx> fmt::Debug for Matrix<'p, 'tcx> { |
| fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { |
| write!(f, "\n")?; |
| |
| let Matrix { patterns: m, .. } = self; |
| let pretty_printed_matrix: Vec<Vec<String>> = |
| m.iter().map(|row| row.iter().map(|pat| format!("{pat:?}")).collect()).collect(); |
| |
| let column_count = m.iter().map(|row| row.len()).next().unwrap_or(0); |
| assert!(m.iter().all(|row| row.len() == column_count)); |
| let column_widths: Vec<usize> = (0..column_count) |
| .map(|col| pretty_printed_matrix.iter().map(|row| row[col].len()).max().unwrap_or(0)) |
| .collect(); |
| |
| for row in pretty_printed_matrix { |
| write!(f, "+")?; |
| for (column, pat_str) in row.into_iter().enumerate() { |
| write!(f, " ")?; |
| write!(f, "{:1$}", pat_str, column_widths[column])?; |
| write!(f, " +")?; |
| } |
| write!(f, "\n")?; |
| } |
| Ok(()) |
| } |
| } |
| |
| /// This carries the results of computing usefulness, as described at the top of the file. When |
| /// checking usefulness of a match branch, we use the `NoWitnesses` variant, which also keeps track |
| /// of potential unreachable sub-patterns (in the presence of or-patterns). When checking |
| /// exhaustiveness of a whole match, we use the `WithWitnesses` variant, which carries a list of |
| /// witnesses of non-exhaustiveness when there are any. |
| /// Which variant to use is dictated by `ArmType`. |
| #[derive(Debug, Clone)] |
| enum Usefulness<'tcx> { |
| /// If we don't care about witnesses, simply remember if the pattern was useful. |
| NoWitnesses { useful: bool }, |
| /// Carries a list of witnesses of non-exhaustiveness. If empty, indicates that the whole |
| /// pattern is unreachable. |
| WithWitnesses(Vec<WitnessStack<'tcx>>), |
| } |
| |
| impl<'tcx> Usefulness<'tcx> { |
| fn new_useful(preference: ArmType) -> Self { |
| match preference { |
| // A single (empty) witness of reachability. |
| FakeExtraWildcard => WithWitnesses(vec![WitnessStack(vec![])]), |
| RealArm => NoWitnesses { useful: true }, |
| } |
| } |
| |
| fn new_not_useful(preference: ArmType) -> Self { |
| match preference { |
| FakeExtraWildcard => WithWitnesses(vec![]), |
| RealArm => NoWitnesses { useful: false }, |
| } |
| } |
| |
| fn is_useful(&self) -> bool { |
| match self { |
| Usefulness::NoWitnesses { useful } => *useful, |
| Usefulness::WithWitnesses(witnesses) => !witnesses.is_empty(), |
| } |
| } |
| |
| /// Combine usefulnesses from two branches. This is an associative operation. |
| fn extend(&mut self, other: Self) { |
| match (&mut *self, other) { |
| (WithWitnesses(_), WithWitnesses(o)) if o.is_empty() => {} |
| (WithWitnesses(s), WithWitnesses(o)) if s.is_empty() => *self = WithWitnesses(o), |
| (WithWitnesses(s), WithWitnesses(o)) => s.extend(o), |
| (NoWitnesses { useful: s_useful }, NoWitnesses { useful: o_useful }) => { |
| *s_useful = *s_useful || o_useful |
| } |
| _ => unreachable!(), |
| } |
| } |
| |
| /// After calculating usefulness after a specialization, call this to reconstruct a usefulness |
| /// that makes sense for the matrix pre-specialization. This new usefulness can then be merged |
| /// with the results of specializing with the other constructors. |
| fn apply_constructor( |
| self, |
| pcx: &PatCtxt<'_, '_, 'tcx>, |
| matrix: &Matrix<'_, 'tcx>, // used to compute missing ctors |
| ctor: &Constructor<'tcx>, |
| ) -> Self { |
| match self { |
| NoWitnesses { .. } => self, |
| WithWitnesses(ref witnesses) if witnesses.is_empty() => self, |
| WithWitnesses(witnesses) => { |
| let new_witnesses = if let Constructor::Missing { .. } = ctor { |
| let mut missing = ConstructorSet::for_ty(pcx.cx, pcx.ty) |
| .compute_missing(pcx, matrix.heads().map(DeconstructedPat::ctor)); |
| if missing.iter().any(|c| c.is_non_exhaustive()) { |
| // We only report `_` here; listing other constructors would be redundant. |
| missing = vec![Constructor::NonExhaustive]; |
| } |
| |
| // We got the special `Missing` constructor, so each of the missing constructors |
| // gives a new pattern that is not caught by the match. |
| // We construct for each missing constructor a version of this constructor with |
| // wildcards for fields, i.e. that matches everything that can be built with it. |
| // For example, if `ctor` is a `Constructor::Variant` for `Option::Some`, we get |
| // the pattern `Some(_)`. |
| let new_patterns: Vec<WitnessPat<'_>> = missing |
| .into_iter() |
| .map(|missing_ctor| WitnessPat::wild_from_ctor(pcx, missing_ctor.clone())) |
| .collect(); |
| |
| witnesses |
| .into_iter() |
| .flat_map(|witness| { |
| new_patterns.iter().map(move |pat| { |
| let mut stack = witness.clone(); |
| stack.0.push(pat.clone()); |
| stack |
| }) |
| }) |
| .collect() |
| } else { |
| witnesses |
| .into_iter() |
| .map(|witness| witness.apply_constructor(pcx, &ctor)) |
| .collect() |
| }; |
| WithWitnesses(new_witnesses) |
| } |
| } |
| } |
| } |
| |
| #[derive(Copy, Clone, Debug)] |
| enum ArmType { |
| FakeExtraWildcard, |
| RealArm, |
| } |
| |
| /// A witness-tuple of non-exhaustiveness for error reporting, represented as a list of patterns (in |
| /// reverse order of construction) with wildcards inside to represent elements that can take any |
| /// inhabitant of the type as a value. |
| /// |
| /// This mirrors `PatStack`: they function similarly, except `PatStack` contains user patterns we |
| /// are inspecting, and `WitnessStack` contains witnesses we are constructing. |
| /// FIXME(Nadrieril): use the same order of patterns for both |
| /// |
| /// A `WitnessStack` should have the same types and length as the `PatStacks` we are inspecting |
| /// (except we store the patterns in reverse order). Because Rust `match` is always against a single |
| /// pattern, at the end the stack will have length 1. In the middle of the algorithm, it can contain |
| /// multiple patterns. |
| /// |
| /// For example, if we are constructing a witness for the match against |
| /// |
| /// ```compile_fail,E0004 |
| /// struct Pair(Option<(u32, u32)>, bool); |
| /// # fn foo(p: Pair) { |
| /// match p { |
| /// Pair(None, _) => {} |
| /// Pair(_, false) => {} |
| /// } |
| /// # } |
| /// ``` |
| /// |
| /// We'll perform the following steps (among others): |
| /// - Start with a matrix representing the match |
| /// `PatStack(vec![Pair(None, _)])` |
| /// `PatStack(vec![Pair(_, false)])` |
| /// - Specialize with `Pair` |
| /// `PatStack(vec![None, _])` |
| /// `PatStack(vec![_, false])` |
| /// - Specialize with `Some` |
| /// `PatStack(vec![_, false])` |
| /// - Specialize with `_` |
| /// `PatStack(vec![false])` |
| /// - Specialize with `true` |
| /// // no patstacks left |
| /// - This is a non-exhaustive match: we have the empty witness stack as a witness. |
| /// `WitnessStack(vec![])` |
| /// - Apply `true` |
| /// `WitnessStack(vec![true])` |
| /// - Apply `_` |
| /// `WitnessStack(vec![true, _])` |
| /// - Apply `Some` |
| /// `WitnessStack(vec![true, Some(_)])` |
| /// - Apply `Pair` |
| /// `WitnessStack(vec![Pair(Some(_), true)])` |
| /// |
| /// The final `Pair(Some(_), true)` is then the resulting witness. |
| #[derive(Debug, Clone)] |
| pub(crate) struct WitnessStack<'tcx>(Vec<WitnessPat<'tcx>>); |
| |
| impl<'tcx> WitnessStack<'tcx> { |
| /// Asserts that the witness contains a single pattern, and returns it. |
| fn single_pattern(self) -> WitnessPat<'tcx> { |
| assert_eq!(self.0.len(), 1); |
| self.0.into_iter().next().unwrap() |
| } |
| |
| /// Constructs a partial witness for a pattern given a list of |
| /// patterns expanded by the specialization step. |
| /// |
| /// When a pattern P is discovered to be useful, this function is used bottom-up |
| /// to reconstruct a complete witness, e.g., a pattern P' that covers a subset |
| /// of values, V, where each value in that set is not covered by any previously |
| /// used patterns and is covered by the pattern P'. Examples: |
| /// |
| /// left_ty: tuple of 3 elements |
| /// pats: [10, 20, _] => (10, 20, _) |
| /// |
| /// left_ty: struct X { a: (bool, &'static str), b: usize} |
| /// pats: [(false, "foo"), 42] => X { a: (false, "foo"), b: 42 } |
| fn apply_constructor(mut self, pcx: &PatCtxt<'_, '_, 'tcx>, ctor: &Constructor<'tcx>) -> Self { |
| let pat = { |
| let len = self.0.len(); |
| let arity = ctor.arity(pcx); |
| let fields = self.0.drain((len - arity)..).rev().collect(); |
| WitnessPat::new(ctor.clone(), fields, pcx.ty) |
| }; |
| |
| self.0.push(pat); |
| |
| self |
| } |
| } |
| |
| /// Algorithm from <http://moscova.inria.fr/~maranget/papers/warn/index.html>. |
| /// The algorithm from the paper has been modified to correctly handle empty |
| /// types. The changes are: |
| /// (0) We don't exit early if the pattern matrix has zero rows. We just |
| /// continue to recurse over columns. |
| /// (1) all_constructors will only return constructors that are statically |
| /// possible. E.g., it will only return `Ok` for `Result<T, !>`. |
| /// |
| /// This finds whether a (row) vector `v` of patterns is 'useful' in relation |
| /// to a set of such vectors `m` - this is defined as there being a set of |
| /// inputs that will match `v` but not any of the sets in `m`. |
| /// |
| /// All the patterns at each column of the `matrix ++ v` matrix must have the same type. |
| /// |
| /// This is used both for reachability checking (if a pattern isn't useful in |
| /// relation to preceding patterns, it is not reachable) and exhaustiveness |
| /// checking (if a wildcard pattern is useful in relation to a matrix, the |
| /// matrix isn't exhaustive). |
| /// |
| /// `is_under_guard` is used to inform if the pattern has a guard. If it |
| /// has one it must not be inserted into the matrix. This shouldn't be |
| /// relied on for soundness. |
| #[instrument(level = "debug", skip(cx, matrix, lint_root), ret)] |
| fn is_useful<'p, 'tcx>( |
| cx: &MatchCheckCtxt<'p, 'tcx>, |
| matrix: &Matrix<'p, 'tcx>, |
| v: &PatStack<'p, 'tcx>, |
| witness_preference: ArmType, |
| lint_root: HirId, |
| is_under_guard: bool, |
| is_top_level: bool, |
| ) -> Usefulness<'tcx> { |
| debug!(?matrix, ?v); |
| let Matrix { patterns: rows, .. } = matrix; |
| |
| // The base case. We are pattern-matching on () and the return value is |
| // based on whether our matrix has a row or not. |
| // NOTE: This could potentially be optimized by checking rows.is_empty() |
| // first and then, if v is non-empty, the return value is based on whether |
| // the type of the tuple we're checking is inhabited or not. |
| if v.is_empty() { |
| let ret = if rows.is_empty() { |
| Usefulness::new_useful(witness_preference) |
| } else { |
| Usefulness::new_not_useful(witness_preference) |
| }; |
| debug!(?ret); |
| return ret; |
| } |
| |
| debug_assert!(rows.iter().all(|r| r.len() == v.len())); |
| |
| // If the first pattern is an or-pattern, expand it. |
| let mut ret = Usefulness::new_not_useful(witness_preference); |
| if v.head().is_or_pat() { |
| debug!("expanding or-pattern"); |
| // We try each or-pattern branch in turn. |
| let mut matrix = matrix.clone(); |
| for v in v.expand_or_pat() { |
| debug!(?v); |
| let usefulness = ensure_sufficient_stack(|| { |
| is_useful(cx, &matrix, &v, witness_preference, lint_root, is_under_guard, false) |
| }); |
| debug!(?usefulness); |
| ret.extend(usefulness); |
| // If pattern has a guard don't add it to the matrix. |
| if !is_under_guard { |
| // We push the already-seen patterns into the matrix in order to detect redundant |
| // branches like `Some(_) | Some(0)`. |
| matrix.push(v); |
| } |
| } |
| } else { |
| let mut ty = v.head().ty(); |
| |
| // Opaque types can't get destructured/split, but the patterns can |
| // actually hint at hidden types, so we use the patterns' types instead. |
| if let ty::Alias(ty::Opaque, ..) = ty.kind() { |
| if let Some(row) = rows.first() { |
| ty = row.head().ty(); |
| } |
| } |
| debug!("v.head: {:?}, v.span: {:?}", v.head(), v.head().span()); |
| let pcx = &PatCtxt { cx, ty, span: v.head().span(), is_top_level }; |
| |
| let v_ctor = v.head().ctor(); |
| debug!(?v_ctor); |
| // We split the head constructor of `v`. |
| let split_ctors = v_ctor.split(pcx, matrix.heads().map(DeconstructedPat::ctor)); |
| // For each constructor, we compute whether there's a value that starts with it that would |
| // witness the usefulness of `v`. |
| let start_matrix = &matrix; |
| for ctor in split_ctors { |
| debug!("specialize({:?})", ctor); |
| // We cache the result of `Fields::wildcards` because it is used a lot. |
| let spec_matrix = start_matrix.specialize_constructor(pcx, &ctor); |
| let v = v.pop_head_constructor(pcx, &ctor); |
| let usefulness = ensure_sufficient_stack(|| { |
| is_useful( |
| cx, |
| &spec_matrix, |
| &v, |
| witness_preference, |
| lint_root, |
| is_under_guard, |
| false, |
| ) |
| }); |
| let usefulness = usefulness.apply_constructor(pcx, start_matrix, &ctor); |
| ret.extend(usefulness); |
| } |
| } |
| |
| if ret.is_useful() { |
| v.head().set_reachable(); |
| } |
| |
| ret |
| } |
| |
| /// A column of patterns in the matrix, where a column is the intuitive notion of "subpatterns that |
| /// inspect the same subvalue". |
| /// This is used to traverse patterns column-by-column for lints. Despite similarities with |
| /// `is_useful`, this is a different traversal. Notably this is linear in the depth of patterns, |
| /// whereas `is_useful` is worst-case exponential (exhaustiveness is NP-complete). |
| #[derive(Debug)] |
| struct PatternColumn<'p, 'tcx> { |
| patterns: Vec<&'p DeconstructedPat<'p, 'tcx>>, |
| } |
| |
| impl<'p, 'tcx> PatternColumn<'p, 'tcx> { |
| fn new(patterns: Vec<&'p DeconstructedPat<'p, 'tcx>>) -> Self { |
| Self { patterns } |
| } |
| |
| fn is_empty(&self) -> bool { |
| self.patterns.is_empty() |
| } |
| fn head_ty(&self) -> Option<Ty<'tcx>> { |
| if self.patterns.len() == 0 { |
| return None; |
| } |
| // If the type is opaque and it is revealed anywhere in the column, we take the revealed |
| // version. Otherwise we could encounter constructors for the revealed type and crash. |
| let is_opaque = |ty: Ty<'tcx>| matches!(ty.kind(), ty::Alias(ty::Opaque, ..)); |
| let first_ty = self.patterns[0].ty(); |
| if is_opaque(first_ty) { |
| for pat in &self.patterns { |
| let ty = pat.ty(); |
| if !is_opaque(ty) { |
| return Some(ty); |
| } |
| } |
| } |
| Some(first_ty) |
| } |
| |
| fn analyze_ctors(&self, pcx: &PatCtxt<'_, 'p, 'tcx>) -> SplitConstructorSet<'tcx> { |
| let column_ctors = self.patterns.iter().map(|p| p.ctor()); |
| ConstructorSet::for_ty(pcx.cx, pcx.ty).split(pcx, column_ctors) |
| } |
| fn iter<'a>(&'a self) -> impl Iterator<Item = &'p DeconstructedPat<'p, 'tcx>> + Captures<'a> { |
| self.patterns.iter().copied() |
| } |
| |
| /// Does specialization: given a constructor, this takes the patterns from the column that match |
| /// the constructor, and outputs their fields. |
| /// This returns one column per field of the constructor. The normally all have the same length |
| /// (the number of patterns in `self` that matched `ctor`), except that we expand or-patterns |
| /// which may change the lengths. |
| fn specialize(&self, pcx: &PatCtxt<'_, 'p, 'tcx>, ctor: &Constructor<'tcx>) -> Vec<Self> { |
| let arity = ctor.arity(pcx); |
| if arity == 0 { |
| return Vec::new(); |
| } |
| |
| // We specialize the column by `ctor`. This gives us `arity`-many columns of patterns. These |
| // columns may have different lengths in the presence of or-patterns (this is why we can't |
| // reuse `Matrix`). |
| let mut specialized_columns: Vec<_> = |
| (0..arity).map(|_| Self { patterns: Vec::new() }).collect(); |
| let relevant_patterns = |
| self.patterns.iter().filter(|pat| ctor.is_covered_by(pcx, pat.ctor())); |
| for pat in relevant_patterns { |
| let specialized = pat.specialize(pcx, &ctor); |
| for (subpat, column) in specialized.iter().zip(&mut specialized_columns) { |
| if subpat.is_or_pat() { |
| column.patterns.extend(subpat.flatten_or_pat()) |
| } else { |
| column.patterns.push(subpat) |
| } |
| } |
| } |
| |
| assert!( |
| !specialized_columns[0].is_empty(), |
| "ctor {ctor:?} was listed as present but isn't; |
| there is an inconsistency between `Constructor::is_covered_by` and `ConstructorSet::split`" |
| ); |
| specialized_columns |
| } |
| } |
| |
| /// Traverse the patterns to collect any variants of a non_exhaustive enum that fail to be mentioned |
| /// in a given column. |
| #[instrument(level = "debug", skip(cx), ret)] |
| fn collect_nonexhaustive_missing_variants<'p, 'tcx>( |
| cx: &MatchCheckCtxt<'p, 'tcx>, |
| column: &PatternColumn<'p, 'tcx>, |
| ) -> Vec<WitnessPat<'tcx>> { |
| let Some(ty) = column.head_ty() else { |
| return Vec::new(); |
| }; |
| let pcx = &PatCtxt { cx, ty, span: DUMMY_SP, is_top_level: false }; |
| |
| let set = column.analyze_ctors(pcx); |
| if set.present.is_empty() { |
| // We can't consistently handle the case where no constructors are present (since this would |
| // require digging deep through any type in case there's a non_exhaustive enum somewhere), |
| // so for consistency we refuse to handle the top-level case, where we could handle it. |
| return vec![]; |
| } |
| |
| let mut witnesses = Vec::new(); |
| if cx.is_foreign_non_exhaustive_enum(ty) { |
| witnesses.extend( |
| set.missing |
| .into_iter() |
| // This will list missing visible variants. |
| .filter(|c| !matches!(c, Constructor::Hidden | Constructor::NonExhaustive)) |
| .map(|missing_ctor| WitnessPat::wild_from_ctor(pcx, missing_ctor)), |
| ) |
| } |
| |
| // Recurse into the fields. |
| for ctor in set.present { |
| let specialized_columns = column.specialize(pcx, &ctor); |
| let wild_pat = WitnessPat::wild_from_ctor(pcx, ctor); |
| for (i, col_i) in specialized_columns.iter().enumerate() { |
| // Compute witnesses for each column. |
| let wits_for_col_i = collect_nonexhaustive_missing_variants(cx, col_i); |
| // For each witness, we build a new pattern in the shape of `ctor(_, _, wit, _, _)`, |
| // adding enough wildcards to match `arity`. |
| for wit in wits_for_col_i { |
| let mut pat = wild_pat.clone(); |
| pat.fields[i] = wit; |
| witnesses.push(pat); |
| } |
| } |
| } |
| witnesses |
| } |
| |
| /// Traverse the patterns to warn the user about ranges that overlap on their endpoints. |
| #[instrument(level = "debug", skip(cx, lint_root))] |
| fn lint_overlapping_range_endpoints<'p, 'tcx>( |
| cx: &MatchCheckCtxt<'p, 'tcx>, |
| column: &PatternColumn<'p, 'tcx>, |
| lint_root: HirId, |
| ) { |
| let Some(ty) = column.head_ty() else { |
| return; |
| }; |
| let pcx = &PatCtxt { cx, ty, span: DUMMY_SP, is_top_level: false }; |
| |
| let set = column.analyze_ctors(pcx); |
| |
| if IntRange::is_integral(ty) { |
| let emit_lint = |overlap: &IntRange, this_span: Span, overlapped_spans: &[Span]| { |
| let overlap_as_pat = overlap.to_diagnostic_pat(ty, cx.tcx); |
| let overlaps: Vec<_> = overlapped_spans |
| .iter() |
| .copied() |
| .map(|span| Overlap { range: overlap_as_pat.clone(), span }) |
| .collect(); |
| cx.tcx.emit_spanned_lint( |
| lint::builtin::OVERLAPPING_RANGE_ENDPOINTS, |
| lint_root, |
| this_span, |
| OverlappingRangeEndpoints { overlap: overlaps, range: this_span }, |
| ); |
| }; |
| |
| // If two ranges overlapped, the split set will contain their intersection as a singleton. |
| let split_int_ranges = set.present.iter().filter_map(|c| c.as_int_range()); |
| for overlap_range in split_int_ranges.clone() { |
| if overlap_range.is_singleton() { |
| let overlap: MaybeInfiniteInt = overlap_range.lo; |
| // Ranges that look like `lo..=overlap`. |
| let mut prefixes: SmallVec<[_; 1]> = Default::default(); |
| // Ranges that look like `overlap..=hi`. |
| let mut suffixes: SmallVec<[_; 1]> = Default::default(); |
| // Iterate on patterns that contained `overlap`. |
| for pat in column.iter() { |
| let this_span = pat.span(); |
| let Constructor::IntRange(this_range) = pat.ctor() else { continue }; |
| if this_range.is_singleton() { |
| // Don't lint when one of the ranges is a singleton. |
| continue; |
| } |
| if this_range.lo == overlap { |
| // `this_range` looks like `overlap..=this_range.hi`; it overlaps with any |
| // ranges that look like `lo..=overlap`. |
| if !prefixes.is_empty() { |
| emit_lint(overlap_range, this_span, &prefixes); |
| } |
| suffixes.push(this_span) |
| } else if this_range.hi == overlap.plus_one() { |
| // `this_range` looks like `this_range.lo..=overlap`; it overlaps with any |
| // ranges that look like `overlap..=hi`. |
| if !suffixes.is_empty() { |
| emit_lint(overlap_range, this_span, &suffixes); |
| } |
| prefixes.push(this_span) |
| } |
| } |
| } |
| } |
| } else { |
| // Recurse into the fields. |
| for ctor in set.present { |
| for col in column.specialize(pcx, &ctor) { |
| lint_overlapping_range_endpoints(cx, &col, lint_root); |
| } |
| } |
| } |
| } |
| |
| /// The arm of a match expression. |
| #[derive(Clone, Copy, Debug)] |
| pub(crate) struct MatchArm<'p, 'tcx> { |
| /// The pattern must have been lowered through `check_match::MatchVisitor::lower_pattern`. |
| pub(crate) pat: &'p DeconstructedPat<'p, 'tcx>, |
| pub(crate) hir_id: HirId, |
| pub(crate) has_guard: bool, |
| } |
| |
| /// Indicates whether or not a given arm is reachable. |
| #[derive(Clone, Debug)] |
| pub(crate) enum Reachability { |
| /// The arm is reachable. This additionally carries a set of or-pattern branches that have been |
| /// found to be unreachable despite the overall arm being reachable. Used only in the presence |
| /// of or-patterns, otherwise it stays empty. |
| Reachable(Vec<Span>), |
| /// The arm is unreachable. |
| Unreachable, |
| } |
| |
| /// The output of checking a match for exhaustiveness and arm reachability. |
| pub(crate) struct UsefulnessReport<'p, 'tcx> { |
| /// For each arm of the input, whether that arm is reachable after the arms above it. |
| pub(crate) arm_usefulness: Vec<(MatchArm<'p, 'tcx>, Reachability)>, |
| /// If the match is exhaustive, this is empty. If not, this contains witnesses for the lack of |
| /// exhaustiveness. |
| pub(crate) non_exhaustiveness_witnesses: Vec<WitnessPat<'tcx>>, |
| } |
| |
| /// The entrypoint for the usefulness algorithm. Computes whether a match is exhaustive and which |
| /// of its arms are reachable. |
| /// |
| /// Note: the input patterns must have been lowered through |
| /// `check_match::MatchVisitor::lower_pattern`. |
| #[instrument(skip(cx, arms), level = "debug")] |
| pub(crate) fn compute_match_usefulness<'p, 'tcx>( |
| cx: &MatchCheckCtxt<'p, 'tcx>, |
| arms: &[MatchArm<'p, 'tcx>], |
| lint_root: HirId, |
| scrut_ty: Ty<'tcx>, |
| scrut_span: Span, |
| ) -> UsefulnessReport<'p, 'tcx> { |
| let mut matrix = Matrix::empty(); |
| let arm_usefulness: Vec<_> = arms |
| .iter() |
| .copied() |
| .map(|arm| { |
| debug!(?arm); |
| let v = PatStack::from_pattern(arm.pat); |
| is_useful(cx, &matrix, &v, RealArm, arm.hir_id, arm.has_guard, true); |
| if !arm.has_guard { |
| matrix.push(v); |
| } |
| let reachability = if arm.pat.is_reachable() { |
| Reachability::Reachable(arm.pat.unreachable_spans()) |
| } else { |
| Reachability::Unreachable |
| }; |
| (arm, reachability) |
| }) |
| .collect(); |
| |
| let wild_pattern = cx.pattern_arena.alloc(DeconstructedPat::wildcard(scrut_ty, DUMMY_SP)); |
| let v = PatStack::from_pattern(wild_pattern); |
| let usefulness = is_useful(cx, &matrix, &v, FakeExtraWildcard, lint_root, false, true); |
| let non_exhaustiveness_witnesses: Vec<_> = match usefulness { |
| WithWitnesses(pats) => pats.into_iter().map(|w| w.single_pattern()).collect(), |
| NoWitnesses { .. } => bug!(), |
| }; |
| |
| let pat_column = arms.iter().flat_map(|arm| arm.pat.flatten_or_pat()).collect::<Vec<_>>(); |
| let pat_column = PatternColumn::new(pat_column); |
| lint_overlapping_range_endpoints(cx, &pat_column, lint_root); |
| |
| // Run the non_exhaustive_omitted_patterns lint. Only run on refutable patterns to avoid hitting |
| // `if let`s. Only run if the match is exhaustive otherwise the error is redundant. |
| if cx.refutable && non_exhaustiveness_witnesses.is_empty() { |
| if !matches!( |
| cx.tcx.lint_level_at_node(NON_EXHAUSTIVE_OMITTED_PATTERNS, lint_root).0, |
| rustc_session::lint::Level::Allow |
| ) { |
| let witnesses = collect_nonexhaustive_missing_variants(cx, &pat_column); |
| |
| if !witnesses.is_empty() { |
| // Report that a match of a `non_exhaustive` enum marked with `non_exhaustive_omitted_patterns` |
| // is not exhaustive enough. |
| // |
| // NB: The partner lint for structs lives in `compiler/rustc_hir_analysis/src/check/pat.rs`. |
| cx.tcx.emit_spanned_lint( |
| NON_EXHAUSTIVE_OMITTED_PATTERNS, |
| lint_root, |
| scrut_span, |
| NonExhaustiveOmittedPattern { |
| scrut_ty, |
| uncovered: Uncovered::new(scrut_span, cx, witnesses), |
| }, |
| ); |
| } |
| } else { |
| // We used to allow putting the `#[allow(non_exhaustive_omitted_patterns)]` on a match |
| // arm. This no longer makes sense so we warn users, to avoid silently breaking their |
| // usage of the lint. |
| for arm in arms { |
| let (lint_level, lint_level_source) = |
| cx.tcx.lint_level_at_node(NON_EXHAUSTIVE_OMITTED_PATTERNS, arm.hir_id); |
| if !matches!(lint_level, rustc_session::lint::Level::Allow) { |
| let decorator = NonExhaustiveOmittedPatternLintOnArm { |
| lint_span: lint_level_source.span(), |
| suggest_lint_on_match: cx.match_span.map(|span| span.shrink_to_lo()), |
| lint_level: lint_level.as_str(), |
| lint_name: "non_exhaustive_omitted_patterns", |
| }; |
| |
| use rustc_errors::DecorateLint; |
| let mut err = cx.tcx.sess.struct_span_warn(arm.pat.span(), ""); |
| err.set_primary_message(decorator.msg()); |
| decorator.decorate_lint(&mut err); |
| err.emit(); |
| } |
| } |
| } |
| } |
| |
| UsefulnessReport { arm_usefulness, non_exhaustiveness_witnesses } |
| } |